Feature Extraction Using Hierarchical Dispersion Entropy for Rolling Bearing Fault Diagnosis.
Qiang XueBoyu XuChangbo HeFang LiuBin JuSiliang LuYongbin LiuPublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- feature extraction
- neural network
- expert systems
- fault detection and diagnosis
- fault detection
- bp neural network
- chemical process
- image processing
- face recognition
- failure diagnosis
- multiple faults
- rbf neural network
- probabilistic neural networks
- extracted features
- power transformers
- fuzzy logic
- rotating machinery
- gas turbine
- feature vectors
- fault identification
- condition monitoring
- fault detection and isolation
- electronic equipment
- multi sensor information fusion
- analog circuits
- frequency domain
- wavelet transform
- multiresolution
- industrial systems
- vibration signal
- operating conditions
- feature selection